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Modeling Impact of Curatives Tyre Compound Properties

Job in 7500, Enschede, Overijssel, Netherlands
Listing for: Apollo Tyres Ltd
Full Time position
Listed on 2026-07-13
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 18972 EUR Yearly EUR 18972.00 YEAR
Job Description & How to Apply Below
Position: Modeling the Impact of Curatives on Tyre Compound Properties

Job Title: Modeling the Impact of Curatives on Tyre Compound Properties

Location: Primary Location

Reports to: FLM

Department/Function: PV Testing & TMD

About Us

Apollo Tyres Ltd is an international tyre manufacturer and the leading tyre brand in India. The company has multiple manufacturing units in India and a unit each in the Netherlands and Hungary. The company markets its products under its two global brands – Apollo and Vredestein, and its products are available in over 100 countries through a vast network of branded, exclusive and multi-product outlets.

The Compound Development Department of the Research & Development Center is responsible for the design, validation, and implementation of tyre compounds that deliver innovative solutions and optimized performance.

Objective of the role

Join our R&D team to develop AI/ML and data-driven models that predict how curatives (reactive ingredients responsible for vulcanization) influence compound properties and tyre performance. You will work with laboratory-generated data to develop a versatile predictive model that links the type and concentration of curatives to the behaviour of compounds and tyre products.

Responsibilities
  • Review and clean the available data
  • Develop an AI/ML model to predict the impact of curatives on the properties of tyre compounds and their relationship with tyre performance
  • Prepare a final report, transfer the model for use by R&D specialists, and present and discuss the results with the Compound Development Department team
Qualifications
  • Bachelor's or Master's student in Computer Science, Data Science, Applied Mathematics, Artificial Intelligence, Business Information Technology, or a related field
  • Very good command of English, both spoken and written
  • Experience with Python, machine learning/artificial intelligence, and data science
  • A team player with strong communication skills, a results-oriented mindset, and the ability to learn quickly
Benefits
  • A dynamic and innovative environment
  • Colleagues from all over the world
  • Competitive compensation packages
  • Equal opportunity employment
  • Participation in learning and development activities

Start date: Between September and December 2026

Internship nature: Full-time;
Duration: 3-6 months

Location: Colosseum 2, 7521 PT Enschede

Contact:

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